Fall 2026

Statistical Methods I

STAT 601 provides a thorough grounding in modern statistical methods, covering data collection, exploration, probability, and analysis.

offering recorded4 credits
Recorded instructors · Fall 2026 Wei-Yin Loh3.6/5Zhihao Zhao

Summary

1 / 6

Historical reviews of Vivak Patel: Reviewers describe a heavy workload with difficult projects and expect students to do significant independent work, noting that graduate-level rigor requires hard work.

Grade history

average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing or declared in Statistics VISP

  • Graduate/professional standing or declared in Statistics VISP
STAT 601 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing or declared in Statistics VISP

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.62/5 from 24 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Fall 2023: 3.61 GPA, 81.2% A/AB (n=32 letter grades); Fall 2024: 3.60 GPA, 80.0% A/AB (n=30 letter grades); Fall 2025: 3.54 GPA, 72.0% A/AB (n=25 letter grades).

Historical instructors & teaching patterns

Historical reviews of Vivak Patel: Vivak Patel receives polarized reviews for STAT 601. Some students praise his passion and concept teaching, while others criticize his communication, accessibility, and grading. Workload is frequently described as heavy, with mixed opinions on lecture clarity and support.

VIVAK PATEL is recorded teaching in Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

WEI-YIN LOH is recorded teaching in Fall 2016, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction11 / 200
DIS 312Classroom Instruction11 / 200

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Historical reviews for Vivak Patel are polarized, ranging from praise for his passion and concept teaching to complaints about poor communication, pedantry, and unhelpful office hours.

Recent recorded grades — Spring 2024: 3.88 GPA, 87.5% A/AB (n=8 letter grades); Fall 2024: 3.55 GPA, 78.4% A/AB (n=37 letter grades); Fall 2025: 3.54 GPA, 72.0% A/AB (n=25 letter grades).

difficulty & workload

Historical reviews of Vivak Patel: Reviewers describe a heavy workload with difficult projects and expect students to do significant independent work, noting that graduate-level rigor requires hard work.

Historical reviews of Vivak Patel: Students report that TAs often explain concepts better than the instructor, and lecture examples sometimes fail to connect to harder material, requiring self-study.

Topics

  • Data collection in context
  • Graphical and numerical summaries
  • Probability concepts and models
  • Statistical models and methods
  • Statistical concepts underlying methods

Skills

  • Understand data collection in context
  • Explore data using graphical and numerical summaries
  • Understand probability concepts and models
  • Analyze data using statistical models and software
  • Interpret results and critically evaluate methods
  • Communicate data analysis and findings

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 4 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

6 earlier forecasts · 0.15 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
STAT 601 · Fall 2026

Statistical Methods I

Recorded 2026-09-07
Raw records
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    "semester": "1272",
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    "offering_id": "1272:932:024335",
    "course_id": "STAT 601",
    "course_uid": "course_0cdbe47e9cba33b1c1a28e66",
    "term_id": "1272",
    "source_course_id": "024335",
    "source_subject_id": "932",
    "title": "Statistical Methods I",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "4629e97108aa1fe649ac19948fabce18c48f01f6f5620a45bf4b0fe0c4f974b3",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}